Triple
T36413511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rastenburg, East Prussia |
E896942
|
entity |
| Predicate | after1945PopulationChange |
P19590
|
FINISHED |
| Object | expulsion of German population |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: expulsion of German population | Statement: [Rastenburg, East Prussia, after1945PopulationChange, expulsion of German population]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: after1945PopulationChange Context triple: [Rastenburg, East Prussia, after1945PopulationChange, expulsion of German population]
-
A.
regionAfter1945
Indicates that one region exists as the geopolitical or administrative successor of another region after the year 1945.
-
B.
statusAfter1946
Indicates the status or condition of an entity as it existed after the year 1946.
-
C.
statusAfterWWII
Indicates the condition, role, or classification an entity had following the end of World War II.
-
D.
countryAfter1945
Indicates that one entity is a country that existed or was established after the year 1945 in relation to the other entity.
-
E.
historicalPopulationMovement
chosen
Indicates the movement or migration of a population from one place to another during a specific historical period or event.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76e54ce408190849acc3f7758937c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.